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PROGRESS
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Welcome back

It's been a minute.

AI models got smarter.
Their outputs didn't.

~60%
Thirteen top AI models took a women's health test. They flunked most of it. The most common misses included urgent symptoms.¹

Building specialized medical AI doesn't fix it. The specialty tools lost to plain GPT and Claude on every benchmark.²

Models have read everything, but reading isn't judgment. Judgment is trained, case by case, with clinicians watching. That's what we do.

Ema is the framework that makes AI smarter with humans in the loop.

¹ Gruber et al., A Women's Health Benchmark for LLMs, arXiv 2025
² Vishwanath et al., Nature Medicine, 2026

Differentiator 01 · Ownership & no lock-in

When you hear "build on Ema," you brace for the catch.

The worry is that it means giving up ownership, scrapping the work you've done, or locking yourself into someone else's roadmap. None of it is true. You own the models, prompts, and configurations you build on Ema, and you can take them with you whenever you want.

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"I won't own it."
You own your data, your models, and everything you build on Ema.
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"My existing work is wasted."
Layer Ema on top of what you've built. You never throw anything away.
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"I'm locked in."
The frontier LLM underneath swaps out, and everything on top is yours to take with you.

And the economics match: fixed, predictable pricing that doesn't balloon with token usage as you scale, a signed BAA, and we never train our models, or anyone else's, on your data.

Now building on EmaJulieCareWillowPatientsLikeMeAavia

Why you never launch a raw LLM alone

AI is the astronaut.

What the framework delivers
80%
prefer Ema over other AI for health
36%
of Ema interactions generate utilization of client products and services
49%
reduction in human operational support needs
99%
clinician recommendation rate
1
The chat apps you know aren't what you get when you build on AI. Those are the frontier labs' finished consumer products. The API gives you the raw model underneath.
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And neither one is built for care. Raw or polished, the model has no clinical guardrails, no escalation, no judgment. Space doesn't care how brilliant the astronaut is.
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Ema is the suit with clinical judgment, safety protocols, human in the loop: built for the environment, engineered to keep everyone alive in it.
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Suited up, it goes to work inside your product. And it stays current as models improve, without your team maintaining anything.

See it work

Same question. Different response

Tap the line that worries you, then switch to Ema and watch the answer change.

Pick a question, pick your AI
OpenAI Ema
See your response
She asks
Switch between OpenAI and Ema to see the answer change, then continue.

Ema at work

Ema is also your data analyst.

Every conversation becomes a clear, de-identified read on what your users need. Here is a glance at what your team would see.

Open as many conversations as you like — they show how deep the insights go.
You're all caught up

Now we build yours.

Going through this unlocked your demo. It is a working version of Ema inside your product, built on your real data, your report and your workflows, that you can walk your team through. It is an artifact, not another call.

Demo
A working prototype built on your real data, with one or two of your use cases live on Ema's engine.
🔓 Unlocked
Starter
Ema's core engine to get going.
$X,XXX / mo
Medium
More volume, custom assessments, and dedicated support.
$X,XXX / mo
Enterprise
Custom scale, full dev features, and expert support.
Talk to sales
Tiers are where you grow later. Pricing is a conversation, not a checkout.
What happens next: we build it on your data and bring it back to you.